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Cascaded Diffusion Models for High Fidelity Image Generation
v1v2v3 (latest)

Cascaded Diffusion Models for High Fidelity Image Generation

Journal of machine learning research (JMLR), 2021
30 May 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
ArXiv (abs)PDFHTML

Papers citing "Cascaded Diffusion Models for High Fidelity Image Generation"

50 / 964 papers shown
Patch-based Selection and Refinement for Early Object Detection
Patch-based Selection and Refinement for Early Object DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Tianyi Zhang
Kishore Kasichainula
Yaoxin Zhuo
Baoxin Li
Jae-sun Seo
Yu Cao
136
7
0
03 Nov 2023
Latent Diffusion Model for Conditional Reservoir Facies Generation
Latent Diffusion Model for Conditional Reservoir Facies GenerationComputational Geosciences (Comput. Geosci.), 2023
Daesoo Lee
O. Ovanger
J. Eidsvik
Erlend Aune
J. Skauvold
R. Hauge
DiffM
147
16
0
03 Nov 2023
FacadeNet: Conditional Facade Synthesis via Selective Editing
FacadeNet: Conditional Facade Synthesis via Selective EditingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yiangos Georgiou
Marios Loizou
Tom Kelly
Melinos Averkiou
215
0
0
02 Nov 2023
Gaussian Mixture Solvers for Diffusion Models
Gaussian Mixture Solvers for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Hanzhong Guo
Cheng Lu
Fan Bao
Tianyu Pang
Shuicheng Yan
Chao Du
Chongxuan Li
207
17
0
02 Nov 2023
The Missing U for Efficient Diffusion Models
The Missing U for Efficient Diffusion Models
Sergio Calvo-Ordoñez
Chun-Wun Cheng
Jiahao Huang
Lipei Zhang
Guang Yang
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
DiffM
292
5
0
31 Oct 2023
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising
  Diffusion
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion
Jialin Chen
Shirley Wu
Abhijit Gupta
Rex Ying
DiffM
220
6
0
30 Oct 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations
  Against Unauthorized Data Usage in Diffusion-Based Generative AI
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AINeural Information Processing Systems (NeurIPS), 2023
Bochuan Cao
Changjiang Li
Ting Wang
Jinyuan Jia
Bo Li
Jinghui Chen
DiffM
219
32
0
30 Oct 2023
CADS: Unleashing the Diversity of Diffusion Models through
  Condition-Annealed Sampling
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed SamplingInternational Conference on Learning Representations (ICLR), 2023
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
DiffM
395
94
0
26 Oct 2023
FuXi-Extreme: Improving extreme rainfall and wind forecasts with
  diffusion model
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion modelScience China. Earth Sciences (Sci China Earth Sci), 2023
Xiaohui Zhong
Lei Chen
Jun Liu
Chensen Lin
Yuan Qi
Hao Li
AI4Cl
132
50
0
25 Oct 2023
Improving Diffusion Models for ECG Imputation with an Augmented Template
  Prior
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior
Alexander Jenkins
Zehua Chen
F. Ng
Danilo Mandic
DiffM
213
6
0
24 Oct 2023
Matryoshka Diffusion Models
Matryoshka Diffusion Models
Jiatao Gu
Shuangfei Zhai
Yizhen Zhang
Joshua M. Susskind
Navdeep Jaitly
DiffM
308
67
0
23 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for
  Density Estimation
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density EstimationJournal of Machine Learning for Modeling and Computing (JMLMC), 2023
Yanfang Liu
Minglei Yang
Zezhong Zhang
Feng Bao
Yanzhao Cao
Guannan Zhang
195
22
0
22 Oct 2023
Diffusion-based Data Augmentation for Nuclei Image Segmentation
Diffusion-based Data Augmentation for Nuclei Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Xinyi Yu
Guanbin Li
Wei Lou
Siqi Liu
Xiang Wan
Yan Chen
Haofeng Li
294
51
0
22 Oct 2023
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion
  Models
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Tianshi Cao
Karsten Kreis
Sanja Fidler
Nicholas Sharp
Kangxue Yin
260
98
0
20 Oct 2023
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture
  Propagation
DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
Bangbang Yang
Wenqi Dong
Lin Ma
Wenbo Hu
Xiao Liu
Zhaopeng Cui
Yuewen Ma
DiffM
154
32
0
19 Oct 2023
Bayesian Flow Networks in Continual Learning
Bayesian Flow Networks in Continual Learning
Mateusz Pyla
Kamil Deja
Bartlomiej Twardowski
Tomasz Trzciñski
BDL
221
0
0
18 Oct 2023
A Survey on Video Diffusion Models
A Survey on Video Diffusion ModelsACM Computing Surveys (ACM Comput. Surv.), 2023
Zhen Xing
Qijun Feng
Haoran Chen
Jingdong Sun
Hang-Rui Hu
Hang Xu
Zuxuan Wu
Yu-Gang Jiang
EGVMVGen
460
227
0
16 Oct 2023
TOSS:High-quality Text-guided Novel View Synthesis from a Single Image
TOSS:High-quality Text-guided Novel View Synthesis from a Single ImageInternational Conference on Learning Representations (ICLR), 2023
Yukai Shi
Jianan Wang
He Cao
Boshi Tang
Xianbiao Qi
Tianyu Yang
Yukun Huang
Shilong Liu
Lei Zhang
H. Shum
DiffM
194
27
0
16 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution
  Matching
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingInternational Conference on Learning Representations (ICLR), 2023
Jianhao Yuan
Jie Zhang
Shuyang Sun
Juil Sock
Bo Zhao
245
45
0
16 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
Mengfei Xia
Yujun Shen
Changsong Lei
Yu Zhou
Ran Yi
Deli Zhao
Wenping Wang
Yong Liu
192
5
0
14 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient
  Representations
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
Ahmed Khalil
Robert Piechocki
Raúl Santos-Rodríguez
230
6
0
13 Oct 2023
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time
  Series Anomaly Detection
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection
Chaocheng Yang
Tingyin Wang
Xuanhui Yan
DiffM
312
13
0
13 Oct 2023
Debias the Training of Diffusion Models
Debias the Training of Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023
Huikang Yu
Li Shen
Jie Huang
Man Zhou
Hongsheng Li
Feng Zhao
DiffM
180
2
0
12 Oct 2023
Efficient Integrators for Diffusion Generative Models
Efficient Integrators for Diffusion Generative ModelsInternational Conference on Learning Representations (ICLR), 2023
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
191
12
0
11 Oct 2023
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with
  Diffusion Models
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Yin-Yin He
Shaoshu Yang
Haoxin Chen
Xiaodong Cun
Menghan Xia
Yong Zhang
Xintao Wang
Ran He
Qifeng Chen
Ying Shan
225
110
0
11 Oct 2023
Echocardiography video synthesis from end diastolic semantic map via
  diffusion model
Echocardiography video synthesis from end diastolic semantic map via diffusion modelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Nguyen Van Phi
Tran Minh Duc
Hieu H. Pham
Tran Quoc Long
DiffMMedImVGen
182
9
0
11 Oct 2023
Tweedie Moment Projected Diffusions For Inverse Problems
Tweedie Moment Projected Diffusions For Inverse Problems
Benjamin Boys
Mark Girolami
Jakiw Pidstrigach
Sebastian Reich
Alan Mosca
O. Deniz Akyildiz
MedIm
428
54
0
10 Oct 2023
Improving Compositional Text-to-image Generation with Large
  Vision-Language Models
Improving Compositional Text-to-image Generation with Large Vision-Language Models
Song Wen
Guian Fang
Renrui Zhang
Shiyang Feng
Hao Dong
Dimitris N. Metaxas
256
24
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Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingInternational Conference on Learning Representations (ICLR), 2023
Huangjie Zheng
Zhendong Wang
Jianbo Yuan
Guanghan Ning
Pengcheng He
Quanzeng You
Hongxia Yang
Mingyuan Zhou
336
16
0
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Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu
José Lezama
N. B. Gundavarapu
Luca Versari
Kihyuk Sohn
...
Boqing Gong
Ming-Hsuan Yang
Irfan Essa
David A. Ross
Lu Jiang
439
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Stochastic interpolants with data-dependent couplings
Stochastic interpolants with data-dependent couplingsInternational Conference on Machine Learning (ICML), 2023
M. S. Albergo
Mark Goldstein
Nicholas M. Boffi
Rajesh Ranganath
Eric Vanden-Eijnden
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284
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0
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Magicremover: Tuning-free Text-guided Image inpainting with Diffusion
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Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models
Si-hang Yang
Lu Zhang
Liqian Ma
Yu Liu
JingJing Fu
You He
DiffM
195
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EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods
Samyadeep Basu
Mehrdad Saberi
S. Bhardwaj
Atoosa Malemir Chegini
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S. Hu
Soheil Feizi
203
29
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Forecasting Tropical Cyclones with Cascaded Diffusion Models
Forecasting Tropical Cyclones with Cascaded Diffusion Models
Pritthijit Nath
Pancham Shukla
Shuai Wang
César Quilodrán-Casas
DiffM
545
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Sequential Data Generation with Groupwise Diffusion Process
Sequential Data Generation with Groupwise Diffusion Process
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Hyunsung Kim
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Youngjung Uh
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331
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Completing Visual Objects via Bridging Generation and Segmentation
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Hao Chen
Kai Hu
Rita Singh
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InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision
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Yulu Gan
Sungwoo Park
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A Unified Framework for Generative Data Augmentation: A Comprehensive
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302
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LLM-grounded Video Diffusion Models
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Long Lian
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Semih Yavuz
Ye Liu
Boyi Li
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Reconstruction of Patient-Specific Confounders in AI-based Radiologic
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Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCell Reports Medicine (Cell Rep Med), 2023
T. Han
Laura vZigutyt.e
L. Huck
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Firas Khader
Christiane Kuhl
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MedIm
229
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SatDM: Synthesizing Realistic Satellite Image with Semantic Layout
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Hamid Askarov
Imran Ibrahimli
Ismat Bakhishov
N. Nabiyev
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Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
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Generating Visual Scenes from Touch
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Forgedit: Text Guided Image Editing via Learning and Forgetting
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AutoDiffusion: Training-Free Optimization of Time Steps and
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ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
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DriveDreamer: Towards Real-world-driven World Models for Autonomous
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